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Space-time generalization of mutual information
The mutual information characterizes correlations between spatially separated regions of a system. Yet, in experiments we often measure dynamical...
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Network mutual information measures for graph similarity
A wide range of tasks in network analysis, such as clustering network populations or identifying anomalies in temporal graph streams, require a...
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Decoding MRI-informed brain age using mutual information
ObjectiveWe aimed to develop a standardized method to investigate the relationship between estimated brain age and regional morphometric features,...
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An adversarial training-based mutual information constraint method
As an auxiliary loss function, the mutual information constraint is widely used in various deep learning tasks, such as deep reinforcement learning...
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Estimating quantum mutual information through a quantum neural network
We propose a method of quantum machine learning called quantum mutual information neural estimation (QMINE) for estimating von Neumann entropy and...
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Generalized smooth mutual max-information of quantum channel
Mutual information of quantum channel is a natural extension of a basic concept in quantum information theory that of measuring the correlation of a...
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Exploring adversarial examples and adversarial robustness of convolutional neural networks by mutual information
Convolutional neural networks (CNNs) are susceptible to adversarial examples, which are similar to original examples but contain malicious...
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Consistency-constrained RGB-T crowd counting via mutual information maximization
The incorporation of thermal imaging data in RGB-T images has demonstrated its usefulness in cross-modal crowd counting by offering complementary...
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Entropy and Mutual Information
Entropy, mutual information, and relative entropy are work horses in Shannon theoretic analyses for communications and compression. These quantities...
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A high-fidelity face swapping algorithm based on mutual information-guided feature decoupling
A large number of high-quality face swapping images are often required to improve the performance of forgery detection. High-quality face swapping...
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Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis
The effectiveness of multimodal sentiment analysis hinges on the seamless integration of information from diverse modalities, where the quality of...
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Feature subset selection for multi-scale neighborhood decision information system via mutual information
As a granular computing model, multi-scale data analysis has attracted considerable attention in last several years. However, most of multi-scale...
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Semi-supervised feature selection based on discernibility matrix and mutual information
AbstractFeature selection is a vital technique for reducing data dimensionality. While many granular computing-based feature selection algorithms...
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Mutual Information Dropout: Mutual Information Can Be All You Need
Dropout is a powerful way for preventing model overfitting. However, it is inefficient due to it randomly ignoring some neurons. Although there are...
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Mutual information of multiple rhythms in schizophrenia
Interactions between different cortical rhythms, such as slow and fast oscillations, have been hypothesized to underlie many cognitive functions. In...
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Extracting Stock Predictive Information in Mutual Fund Managers’ Portfolio Decisions Through Machine Learning with Hypergraph
This paper proposes a machine learning framework that incorporates mutual fund managers’ portfolio decisions to predict stock price movements. It...
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Estimation of Mutual Information
This book presents the mutual information (MI) estimation methods recently proposed by the author and published in a number of major journals. It...
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Synthesis and Optimization of a Stochastic Algorithm for Image Registration Using Shannon’s Maximum Mutual Information Criterion
AbstractAn algorithm for estimating image registration parameters using Shannon’s maximum mutual information criterion is synthesized on the basis of...
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Multi-label feature selection for missing labels by granular-ball based mutual information
AbstractMulti-label feature selection serves an effective dimensionality reduction technique in the high-dimensional multi-label data. However, most...
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A comparative analysis of mutual information methods for pairwise relationship detection in metagenomic data
BackgroundConstruction of co-occurrence networks in metagenomic data often employs correlation to infer pairwise relationships between microbes....
